Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review

• Published in: BMC infectious diseases 2022-09, Vol.22 (1), p.1-723, Article 723
• Main Authors: Zheng, Junyao, Shen, Guoquan, Hu, Siqi, Han, Xinxin, Zhu, Siyu, Liu, Jinlin, He, Rongxin, Zhang, Ning, Hsieh, Chih-Wei, Xue, Hao, Zhang, Bo, Shen, Yue, Mao, Ying, Zhu, Bin
• Format: Article
• Language: English
• Subjects: China; Clustering; Communicable diseases; Coronaviruses; COVID-19; Data analysis; Diseases; Epidemics; Epidemiology; Geographical scale; Health risks; Infectious diseases; Literature reviews; Methods; Notifiable infectious diseases; Population density; Prevention; Regression models; Reporting; Reviews; Risk analysis; Risk factors; Social factors; Socioeconomic factors; Socioeconomics; Spatial distribution; Spatial epidemiology; Spatial variations; Spatiotemporal epidemiology; Statistical analysis; Temporal distribution
• ISSN: 1471-2334; 1471-2334
• DOI: 10.1186/s12879-022-07669-9

The prevalence of infectious diseases remains one of the major challenges faced by the Chinese health sector. Policymakers have a tremendous interest in investigating the spatiotemporal epidemiology of infectious diseases. We aimed to review the small-scale (city level, county level, or below) spatiotemporal epidemiology of notifiable infectious diseases in China through a systematic review, thus summarizing the evidence to facilitate more effective prevention and control of the diseases. We searched four English language databases (PubMed, EMBASE, Cochrane Library, and Web of Science) and three Chinese databases (CNKI, WanFang, and SinoMed), for studies published between January 1, 2004 (the year in which China's Internet-based disease reporting system was established) and December 31, 2021. Eligible works were small-scale spatial or spatiotemporal studies focusing on at least one notifiable infectious disease, with the entire territory of mainland China as the study area. Two independent reviewers completed the review process based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A total of 18,195 articles were identified, with 71 eligible for inclusion, focusing on 22 diseases. Thirty-one studies (43.66%) were analyzed using city-level data, 34 (47.89%) were analyzed using county-level data, and six (8.45%) used community or individual data. Approximately four-fifths (80.28%) of the studies visualized incidence using rate maps. Of these, 76.06% employed various spatial clustering methods to explore the spatial variations in the burden, with Moran's I statistic being the most common. Of the studies, 40.85% explored risk factors, in which the geographically weighted regression model was the most commonly used method. Climate, socioeconomic factors, and population density were the three most considered factors. Small-scale spatiotemporal epidemiology has been applied in studies on notifiable infectious diseases in China, involving spatiotemporal distribution and risk factors. Health authorities should improve prevention strategies and clarify the direction of future work in the field of infectious disease research in China.